This project needs to be in Matlab for dimensional reduction.
We have a multidimensional data set (25x50) in which we need to find the best subset to fit a regression.
By using PCA you can extract the top N feature which will fit a regression but the final model will have M inputs with the higher R square and min p values.
The output will show all the regressions combination along R, P-values, coeff
Data is attached
9 freelancer menawar dengan rata-rata $29 untuk pekerjaan ini
Hello, I am independent, experienced algorithm expert. I can help with this task with quick turnaorund. Looking to hearing from you. Kind regards Rina B.